Scientific and technical activities in Russia are mainly concentrated in scientific organizations and universities. Taking into account the tasks of improving the mechanisms of public administration in the field of intellectual property, the development of tools to stimulate extra-budgetary financing of R & D, as well as the use of scientific results in the production activities of industrial enterprises, it is advisable to identify higher education organizations with significant performance in scientific and technical activities as well as creating and using RID, or leaders in patent and innovation activity, as well as creating and using RID. The tasks set in the study were solved using methods of retrospective analysis, methods of empirical research, including international and Russian approaches to ranking national and foreign universities. The proposed methodology of ranking Russian higher education organizations by the patent and innovation activity can be used for comparative assessment of scientific and technical competence in terms of Strategy of scientific and technological development areas of research. That, in turn, can be used to allocate funds and develop regulatory impact mechanisms for the sector of research and development, including universities and industrial enterprises, to stimulate them to effective research and innovation activities within the framework of scientific and production cooperation.

The article proposes approaches to assessing the risk of non-implementation of scientific and technological projects, based on the analysis of data from institutions for innovative development of information, and carried out following the requirements of a comprehensive assessment of projects’ technological readiness. One of the approaches presented allows you to build a matrix for subsequent analysis that describes the possibility of a project oving to a higher level of development, and the second is based on identifying empirical dependencies between the level of readiness of the project being executed and the risk of violating its deadlines. Examples of applying  the developed approaches for practical tasks on program activities of target programs in the field of research and development in priority areas of the scientific and technological complex of Russia are given. The described models are intended for use in the governing bodies of innovative development institutions to increase the implemented support programs’ efficiency.

The project aimed to increase the competitiveness of Russian universities among the world’s leading research and educational centers, which was called “5–100”, was completed in 2020. The aim of this project assumed the entry of five Russian universities into the TOP 100 world institutional rankings. However, due to the fact that there are currently a large number of international rankings among higher education institutions, both global and industry-specific or subject-specific, the indicators achieved within the framework of the “5–100” project are still being discussed by the expert community. For the further effective implementation of the national project “Science“ in terms of achieving the priority state development goals in the field of science and education, it is important to formulate proposals and mechanisms for realization the strategic academic leadership program” Priority-2030“ on the basis of available data and the results of the analysis of the experience gained, which are presented in this paper.

The experience and features of state models of support for the corporate venture sector in the USA, China, and EU countries are summarized. A general trend in the development of the venture capital industry for foreign countries is the shift in the focus of venture capital funds to investments of late stages of financing. It is shown that the greatest efficiency of government programs in stimulating large companies to innovative and technological development is achieved with joint financing of startups, with the creation of a venture capital fund, with the introduction of tax incentives aimed at companies with high growth potential.

The aim of this study is to explore the relevance of scientific production on venture capital using bibliometric and mapping tools.

We performed a search in Scopus, involving any document published between 1978 and 2020. We used bibliometric indicators to explore documents production, dispersion, distribution, time of duplication, and annual growth, as Price’s law of scientific literature growth, Lotka’s law, the transient index, and the Bradford model. We also calculated the participation index of the different countries and institutions. Finally, we explored the co-occurrence and thematic networks for the most frequently used terms in venture capital research through bibliometric mapping.

A total of 1,230 original articles were collected from the timeframe 1978–2020. The model confirms that Price’s law is not fulfilled. Scientific production was better adjusted to linear growth (r = 0.9290) than exponential (r = 0.9161). Literature on venture capital research has increased its growth in the last 43 years at a rate of 7.9% per year, with a production that doubles its size every 9.1 years. The transience index was 79.91%, which indicates that most of the scientific production is due to a lot of authors with a small number of publications on the research topic. Bradford´s law shows that the scientific production in this area is widely distributed in multiple journals, and Lotka’s law indicates that the author’s distribution is heavily concentrated on small producers. The United States of America (USA) and the University of Pennsylvania present the highest production, contributing 31.22% and 1.63% of the total production of research on venture capital.

The venture capital task has undergone a linear growth, with a very high rate of transience, which indicates the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed in the scientific production analyzed, which makes it possible to conclude that the research in venture capital will continue to be in demand by the scientific community.